The following table contains the key Average Weekly Earnings figures for the November 2012 reference period.

Table 1: Average Weekly Earnings, Key Figures, November 2012

November 2012

November 2011 to November 2012 % change

$

%

Trend

Public & Private Sectors

Full-time adult average weekly ordinary time earnings

1 393.00

4.8

Full-time adult average weekly total earnings

1 453.60

4.7

All employees average weekly total earnings

1 080.30

4.5

Private Sector

Full-time adult average weekly ordinary time earnings

1 366.80

5.0

Full-time adult average weekly total earnings

1 432.00

4.9

All employees average weekly total earnings

1 038.30

4.7

Public Sector

Full-time adult average weekly ordinary time earnings

1 489.50

4.5

Full-time adult average weekly total earnings

1 534.10

4.3

All employees average weekly total earnings

1 255.50

4.3

Seasonally Adjusted

Public & Private Sectors

Full-time adult average weekly ordinary time earnings(b)

1 396.00

5.0

Full-time adult average weekly total earnings

1 454.80

4.8

All employees average weekly total earnings(b)

1 081.30

4.6

Private Sector

Full-time adult average weekly ordinary time earnings(b)

1 369.90

5.1

Full-time adult average weekly total earnings

1 433.20

5.0

All employees average weekly total earnings(b)

1 039.30

4.7

Public Sector

Full-time adult average weekly ordinary time earnings(b)

1 491.70

4.5

Full-time adult average weekly total earnings(b)

1 536.20

4.3

All employees average weekly total earnings(b)

1 257.40

4.5

(a) For further information regarding Trend and Seasonally Adjusted estimates, please refer to paragraphs 40 to 47 of the Explanatory Notes.(b) This component is not seasonally adjusted.

TREND ESTIMATES

In the twelve months to November 2012, Trend series Full-Time Adult Average Weekly Ordinary Time Earnings increased by 4.8%. The annual increase to November 2012 for males was 4.9% and females was 4.7%.

In the twelve months to November 2012, Full-Time Adult Average Weekly Total Earnings rose by 4.7% (4.8% for males and 4.6% for females).

To access the time series spreadsheets related to the measures presented above, please refer to the following link or click on the downloads tab at the top of the page.